baseline model
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TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
Precise hardware performance models play a crucial role in code optimizations. They can assist compilers in making heuristic decisions or aid autotuners in identifying the optimal configuration for a given program.
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- North America > United States (0.15)
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Learning Versatile Filters for Efficient Convolutional Neural Networks
Yunhe Wang, Chang Xu, Chunjing XU, Chao Xu, Dacheng Tao
Neural Information Processing Systems http://nips.cc/
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.85)
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee
Neural Information Processing Systems http://nips.cc/
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NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA (Supplement)
The initial learning rate is set to 0.0005 with an exponential learning rate scheduler with a decay rate of 0.99. Also, we use the KL divergence as the loss function.
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Learning Latent Subspaces in Variational Autoencoders
Jack Klys, Jake Snell, Richard Zemel
Neural Information Processing Systems http://nips.cc/
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